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Talent Scientist

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Canonical

3mo ago

  • Job
    Full-time
    Mid & Senior Level
  • Consulting
    Research & Development
  • Düsseldorf
    Remote

AI generated summary

  • You must have a psychology degree, skills in behavioral interviewing, strong analytical abilities using R/Python/SQL, and experience with psychometric assessments and sourcing talent.
  • You will drive talent analytics, conduct behavioral interviews, build relationships, streamline hiring processes, ensure data-driven decisions, enhance candidate experience, and promote diversity.

Requirements

  • Passionate about how an organisation selects talent using scientific approaches
  • Ability to interview candidates using behavioural interviewing techniques (competency based and psychometric assessments)
  • Strong analytical problem solving ability to identify trends and patterns using R or Python, SQL, statistical analysis, BI tooling etc.
  • An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject
  • A high level of personal organisation to work remotely and be effective
  • Willingness to travel to company events 2-4 times a year, for up to two weeks each
  • An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject
  • Strong analytical problem solving ability to identify trends and patterns using R or Python, SQL, statistical analysis, BI tooling etc.
  • Exposure/appreciation of psychometric assessments, including interpretation.
  • Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
  • An demonstrative viewpoint on talent, with a deep appreciation of how to predict and measure success of people.
  • Passionate about how an organisation selects talent using scientific approaches.
  • A high level of personal organisation to work remotely and be effective.
  • Willingness to travel to company events 2-4 times a year, for up to two weeks each.
  • Experience in sourcing and headhunting with the ability to teach our senior leadership team how to hunt for industry leaders.
  • Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
  • Exposure to the following tools: LinkedIn Talent Insights, Greenhouse, DISC profiling.
  • Psychometric validity and reliability metrics

Responsibilities

  • As a Talent Scientist you will:
  • Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.
  • Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
  • Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes.
  • Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.
  • Consider our employer brand and how our interactions with a candidate impacts their experience.
  • Review and streamline hiring processes and tools to drive continuous improvement.
  • Work with external third parties and platforms to ensure we maximise our return on investment.
  • Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.

FAQs

Do we support remote work?

Yes, we are a remote-first company and work from home is fully supported.

What qualifications are required for the Talent Scientist position?

An exceptional academic background including a Bachelor's or Master's degree in a Psychology-based subject is required.

Is this a recruitment role?

No, this position focuses on the science of talent and performance rather than direct recruitment responsibilities.

What kind of interviews will I conduct as a Talent Scientist?

You will conduct in-depth behavioral talent interviews to provide insights into candidates' motivations and behaviors.

What skills are necessary for analyzing candidate data?

Strong analytical problem-solving abilities using R or Python, SQL, statistical analysis, and BI tools are necessary.

Will I be required to travel for this job?

Yes, you should be willing to travel to company events 2-4 times a year for up to two weeks each time.

How does the hiring process support diversity and inclusion?

We are passionate about ensuring our hiring processes remove unconscious bias and our sourcing strategy supports diversity and inclusion.

What types of tools or assessments will I be using?

You may use tools like LinkedIn Talent Insights, Greenhouse, and various psychometric assessments including DISC profiling.

Will I receive training on conducting interviews?

Yes, you will have the ability to train stakeholders on how to conduct effective behavioral and competency-based interviews.

What benefits does Canonical offer?

Canonical offers a performance-driven annual bonus, a personal learning and development budget, annual compensation reviews, holiday leave, and more.

Is there a focus on continuous improvement in the hiring process?

Yes, you will review and streamline hiring processes and tools to drive continuous improvement.

How important is experience in statistical analysis for this role?

Experience in statistical significance testing and Bayesian inference, as well as predictive analytics and machine learning, is advantageous.

What is Canonical's stance on equal opportunity employment?

Canonical is committed to fostering a workplace free from discrimination and values diversity of experience, perspectives, and backgrounds.

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Canonical

Enterprise open source, secured and delivered by the publisher of Ubuntu.

Technology
Industry
501-1000
Employees
2004
Founded Year

Mission & Purpose

Canonical is a technology company known for developing and supporting Ubuntu, a popular open-source operating system. The company focuses on providing reliable, secure, and cost-effective solutions for cloud computing, IoT, and containers. By leveraging open-source technologies, Canonical aims to enable innovation and digital transformation for businesses and developers worldwide. The company is committed to ensuring high performance and scalability, promoting the adoption of open-source software, and fostering a global community of users and contributors.

Benefits

  • Remote working

    Canonical has been a fully distributed organisation since its origin in 2004. Digital collaboration allows us to enjoy our home environment and work with the best in the world in our domain. We meet each other at least twice per year during in-person sprints to nurture cross-team relationships.

  • We build trust

    Zero commute means more time for the things you enjoy. At the same time, we have very high expectations of commitment and independent execution. We invest in people who are self-driven, motivated and highly organised. We take our responsibility for the most critical elements of open infrastructure very seriously, and we are committed to quality in every aspect of our product and services.

  • We engineer excellence

    We aspire to lead on the global stage. There’s no other way to describe it than hard work, hard challenges and hard competition. You will need to show that you can compete in deeply challenging intellectual fields. Your colleagues are aiming for the top, and they depend on you to set the same standard in your area of responsibility. That’s tough but incredibly satisfying. We value those who take ownership of their area and take opportunities to be exceptional.

  • We travel

    We optimise our team structure for time zone overlap. Collaboration and inspiration takes time to fully develop but leadership at Canonical means building cross-team relationships. We nurture those relationships through regular global summits which bring diverse teams or their leaders together. We host these events around the world to discover great places to explore and appreciate in the process. Team events have taken place in Vancouver, Brugge, New York, Budapest, Orlando, Cape Town, Warsaw, Seoul, Paris, Portland, Lyon, London, Toronto and many more.